search for: interctive

Consider the following two specifications of a model: library( splines ) x <- 1:100 y <- rnorm( 100 ) w <- rep( 1, 100 ) A <- factor( sample( 1:2, 100, replace=T ) ) B <- factor( sample( letters[1:4], 100, replace=T ) ) summary( lm( y ~ ns( x, knots=c(30, 50, 70 ), intercept=T ):A - 1 + B ) ) summary( lm( y ~ ns( x, knots=c(30, 50, 70 ), intercept=T ):A - 1 + B:w ) ) The

This weekend I upgraded SAMBA from 2.2.2 to 2.2.3a then made it the PDC on our LAN. Original PDC was an NT4 Server. There is a Win2K Server running Citrix Metaframe-XP, and the old NT4 PDC Server was replaced with another Win2K Server to be the Database Server. I didn't want to bother with setting Win2K up as a DNS and DFS/ADS Server (required for being a PDC), so selected to make SAMBA the

Dear All, I am writing to ask a clarification on what R, and in particular lme, is doing. I have an experiment where fly wing area was measured in 4 selection lines, measured at 18 and 25 degrees. I am using a lme model because I have three replicated per line (coded 1:12 so I need not use getGroups to creat an orederd factor). The lines are called: "18"; "25";

...adept Lisp-stat programmer. But I have worked on or used several projects for which Lisp-stat seemed the ideal environment-- for implementing relatively portable, state-of-the-art applications, using dynamically-linked graphic windows to provide and demonstrate leading-edge examples of highly-interctive environments for the whole range from testing new ideas to delivering course content, as has been done with Arc and ViSta. My work with Forrest Young and Pedro Valero on ViSta implementations of mosaic displays and other methods for categorical data has been particularly gratifying, in that we'...